Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)
Reference45 articles.
1. Belkin, M., & Niyogi, P. (2001). Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems 14 (pp. 585–591): MIT Press.
2. Cai, D., He, X., Han, J. (2007). Semi-supervised discriminant analysis. In 2007 IEEE 11th international conference on computer vision (pp. 1–7): IEEE.
3. Cai, D., Zhang, C., He, X. (2010). Unsupervised feature selection for multi-cluster data. In ACM SIGKDD international conference on knowledge discovery and data mining (pp. 333–342).
4. Chen, P., Jiao, L., Liu, F., Zhao, J., Zhao, Z., Liu, S. (2017). Semi-supervised double sparse graphs based discriminant analysis for dimensionality reduction. Pattern Recognition, 61, 361–378.
5. Cui, Y., & Fan, L. (2012). A novel supervised dimensionality reduction algorithm: graph-based fisher analysis. Pattern Recognition, 45(4), 1471–1481.
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